Machine Learning Chip Market Size and Forecasts (2021 - 2031), Global and Regional Share, Trends, and Growth Opportunity Analysis

Coverage: Machine Learning Chip Market covers analysis By Chip Type (ASIC, GPU, FPGA, CPU, Others); Industry (BFSI, Media and Advertising, Retail, IT and Telecom, Healthcare, Automotive and Transportation, Others) , and Geography (North America, Europe, Asia Pacific, and South and Central America)

  • Report Code : TIPRE00003154
  • Category : Electronics and Semiconductor
  • Status : Upcoming
  • No. of Pages : 150
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MARKET OVERVIEW



Machine learning is a branch of artificial intelligence that enables machine to develop the ability for self-learning and adaption through experience without being explicitly programmed. It is considered as a method of data analysis that automates analytical model building. Machine learning has been present from decades but not been widely used due to lack of big data it requires for processing. Over the last several decades, enterprises have been dependent greatly on analytics to provide them with competitive advantage and enable them to be more effective. But, enterprises now want real time analytics and the capability to transform data into actionable insight. This has steered the development of machine learning chip.

MARKET SCOPE



The "Global Machine Learning Chip Market Analysis to 2031" is a specialized and in-depth study with a special focus on the global market trend analysis. The report aims to provide an overview of the machine learning chip market with detailed market segmentation by chip type, industry, and geography. The report provides key statistics on the market status of the leading machine learning chip market players and offers key trends and opportunities in the market.

MARKET SEGMENTATION



  •   Based on chip type, the global machine learning chip market is segmented into ASIC, GPU, FPGA, CPU, and others.
  •   On the basis of industry the market is segmented into BFSI, media and advertising, retail, IT and telecom, healthcare, automotive and transportation, and others.

MARKET DYNAMICS


Drivers



  •   The rising complex and large datasets have increased the need for artificial intelligence solutions has majorly driven the machine learning chip market.
  •   Declining hardware cost has supplemented the demand for machine learning chip across diverse verticals

Restraints



  •   Lack of skilled workforce is hindering the growth of the machine learning chip market.

REGIONAL FRAMEWORK



The report provides a detailed overview of the industry including both qualitative and quantitative information. It provides an overview and forecast of the global market based on various segments. It also provides market size and forecast estimates from the year 2021 to 2031 with respect to five major regions, namely; North America, Europe, Asia-Pacific (APAC), the Middle East and Africa (MEA), and South America. The machine learning chip market by each region is later sub-segmented by respective countries and segments. The report covers the analysis and forecast of 18 countries globally along with the current trend and opportunities prevailing in the region.

The report analyzes factors affecting the market from both demand and supply side and further evaluates market dynamics affecting the marketduring the forecast period i.e., drivers, restraints, opportunities, and future trend. The report also provides exhaustive PEST analysis for all five regions namely; North America, Europe, APAC, MEA, and South America after evaluating political, economic, social and technological factors affecting the machine learning chip market in these regions.

IMPACT OF COVID-19 ON MACHINE LEARNING CHIP MARKET


COVID-19 first began in Wuhan (China) during December 2019 and since then it has spread at a fast pace across the globe. The US, India, Brazil, Russia, France, the UK, Turkey, Italy, and Spain are some of the worst affected countries in terms confirmed cases and reported deaths. The COVID-19 has been affecting economies and industries in various countries due to lockdowns, travel bans, and business shutdowns. Shutdown of various plants and factories has affected the global supply chains and negatively impacted the manufacturing, delivery schedules, and sales of products in global market. Few companies have already announced possible delays in product deliveries and slump in future sales of their products. In addition to this, the global travel bans imposed by countries in Europe, Asia-Pacific, and North America are affecting the business collaborations and partnerships opportunities.

MARKET PLAYERS



The report covers key developments in the machine learning chip market as organic and inorganic growth strategies. Various companies are focusing on organic growth strategies such as product launches, product approvals and others such as patents and events. Inorganic growth strategies activities witnessed in the marketwere acquisitions, and partnership & collaborations. These activities have paved way for the expansion of business and customer base of market players. The market payers from machine learning chip market are anticipated to lucrative growth opportunities in the future with the rising demand in the global market.

The report also includes the profiles of key companies along with their SWOT analysis and market strategies in the machine learning chip market. In addition, the report focuses on leading industry players with information such as company profiles, components, and services offered, financial information of the last 3 years, the key development in the past five years.

  •   Advanced Micro Devices Inc.
  •   Alphabet Inc.
  •   Amazon Web Services, Inc.
  •   Bitmain Technology Holding Company
  •   Cerebras Systems
  •   Intel Corporation
  •   Nvidia Corporation
  •   Qualcomm Technologies, Inc.
  •   Samsung Electronics
  •   Xilinx

The Insight Partner's dedicated research and analysis team consist of experienced professionals with advanced statistical expertise and offer various customization options in the existing study.

Machine Learning Chip Report Scope

Report Attribute Details
Market size in 2023 US$ XX Million
Market Size by 2031 US$ XX Million
Global CAGR (2023 - 2031) XX%
Historical Data 2021-2022
Forecast period 2024-2031
Segments Covered By Chip Type
  • ASIC
  • GPU
  • FPGA
  • CPU
By Industry
  • BFSI
  • Media and Advertising
  • Retail
  • IT and Telecom
  • Healthcare
  • Automotive and Transportation
Regions and Countries Covered North America
  • US
  • Canada
  • Mexico
Europe
  • UK
  • Germany
  • France
  • Russia
  • Italy
  • Rest of Europe
Asia-Pacific
  • China
  • India
  • Japan
  • Australia
  • Rest of Asia-Pacific
South and Central America
  • Brazil
  • Argentina
  • Rest of South and Central America
Middle East and Africa
  • South Africa
  • Saudi Arabia
  • UAE
  • Rest of Middle East and Africa
Market leaders and key company profiles
  • Advanced Micro Devices Inc.
  • Alphabet Inc.
  • Amazon Web Services, Inc.
  • Bitmain Technology Holding Company
  • Cerebras Systems
  • Intel Corporation
  • Nvidia Corporation
  • Qualcomm Technologies, Inc.
  • Samsung Electronics
    • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
    • PEST and SWOT Analysis
    • Market Size Value / Volume - Global, Regional, Country
    • Industry and Competitive Landscape
    • Excel Dataset
    Report Coverage

    Report Coverage

    Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

    Segment Covered

    Segment Covered

    This text is related
    to segments covered.

    Regional Scope

    Regional Scope

    North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

    Country Scope

    Country Scope

    This text is related
    to country scope.

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    The List of Companies

    1. Advanced Micro Devices Inc.
    2. Alphabet Inc.
    3. Amazon Web Services, Inc.
    4. Bitmain Technology Holding Company
    5. Cerebras Systems
    6. Intel Corporation
    7. Nvidia Corporation
    8. Qualcomm Technologies, Inc.
    9. Samsung Electronics
    10. Xilinx

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